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ORCIDS. Shankar Sastry
Shankar Sastry 0001 – Shankar S. Sastry
Person information
- affiliation: University of California at Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA
Other persons with the same name
- Shankar Sastry — disambiguation page
Other persons with a similar name
- Shankar P. Sastry (aka: Shankar Prasad Sastry) — Google LLC, Sunnyvale, CA, USA (and 3 more)
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2020 – today
- 2024
[j113]Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma:
Representation Learning via Manifold Flattening and Reconstruction. J. Mach. Learn. Res. 25: 132:1-132:47 (2024)- [c314]Marsalis T. Gibson, David Babazadeh, Claire J. Tomlin, S. Shankar Sastry:
Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security. L4DC 2024: 745-757 - [c313]Victoria Marie Tuck, Pei-Wei Chen, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, S. Shankar Sastry, Sanjit A. Seshia:
SMT-Based Dynamic Multi-Robot Task Allocation. NFM 2024: 331-351 - [i86]Marsalis T. Gibson, David Babazadeh, Claire J. Tomlin, Shankar Sastry:
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security. CoRR abs/2401.10313 (2024) - [i85]Chinmay Maheshwari, Kshitij Kulkarni, Druv Pai, Jiarui Yang, Manxi Wu, Shankar Sastry:
Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area. CoRR abs/2401.16844 (2024) - [i84]Victoria Marie Tuck, Pei-Wei Chen, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, S. Shankar Sastry, Sanjit A. Seshia:
SMT-Based Dynamic Multi-Robot Task Allocation. CoRR abs/2403.11737 (2024) - [i83]Pan-Yang Su, Chinmay Maheshwari, Victoria Tuck, Shankar Sastry:
Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach. CoRR abs/2403.18166 (2024) - [i82]Sukanya Kudva, Kshitij Kulkarni, Chinmay Maheshwari, Anil Aswani, S. Shankar Sastry:
Understanding the Impact of Coalitions between EV Charging Stations. CoRR abs/2404.03919 (2024) - [i81]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry:
Adaptive Incentive Design with Learning Agents. CoRR abs/2405.16716 (2024) - [i80]Chinmay Maheshwari, Manxi Wu, Shankar Sastry:
Decentralized Learning in General-sum Markov Games. CoRR abs/2409.04613 (2024) - 2023
- [c312]Chih-Yuan Chiu, Chinmay Maheshwari
, Pan-Yang Su, Shankar Sastry:
Dynamic Tolling in Arc-based Traffic Assignment Models. Allerton 2023: 1-8 - [c311]Chih-Yuan Chiu, Kshitij Kulkarni, Shankar Sastry:
Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test. CDC 2023: 7610-7616 - [c310]Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry:
Arc-Based Traffic Assignment: Equilibrium Characterization and Learning. CDC 2023: 7751-7758 - [c309]Sheng-Jung Yu, Inigo Incer, Valmik Prabhu, Anwesha Chattoraj, Eric Vin, Daniel J. Fremont, Ankur Mehta, Alberto L. Sangiovanni-Vincentelli, Shankar Sastry, Sanjit A. Seshia:
Symbiotic CPS Design-Space Exploration through Iterated Optimization. CPS-IoT Week Workshops 2023: 92-99 - [c308]Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar S. Sastry:
Competing Bandits in Time Varying Matching Markets. L4DC 2023: 1020-1031 - [i79]Chinmay Maheshwari, S. Shankar Sastry, Lillian J. Ratliff, Eric Mazumdar:
Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games. CoRR abs/2302.01421 (2023) - [i78]Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, S. Shankar Sastry:
Arc-based Traffic Assignment: Equilibrium Characterization and Learning. CoRR abs/2304.04705 (2023) - [i77]Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma:
Representation Learning via Manifold Flattening and Reconstruction. CoRR abs/2305.01777 (2023) - [i76]Xin Guo, Xinyu Li, Chinmay Maheshwari, Shankar Sastry, Manxi Wu:
Markov α-Potential Games: Equilibrium Approximation and Regret Analysis. CoRR abs/2305.12553 (2023) - [i75]Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry:
Dynamic Tolling in Arc-based Traffic Assignment Models. CoRR abs/2307.05466 (2023) - [i74]Nima Rahmanian, Michael Gupta, Renzo Soatto, Srisai Nachuri, Michael Psenka, Yi Ma, S. Shankar Sastry:
Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot. CoRR abs/2312.03024 (2023) - 2022
- [j112]Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry:
Toward verified artificial intelligence. Commun. ACM 65(7): 46-55 (2022) - [j111]Amay Saxena, Chih-Yuan Chiu, Ritika Shrivastava, Joseph Menke, Shankar Sastry:
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization. IEEE Robotics Autom. Lett. 7(3): 7148-7155 (2022) - [c307]Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian J. Ratliff:
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization. AISTATS 2022: 6702-6734 - [c306]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry:
Dynamic Tolling for Inducing Socially Optimal Traffic Loads. ACC 2022: 4601-4607 - [c305]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry:
Inducing Social Optimality in Games via Adaptive Incentive Design. CDC 2022: 2864-2869 - [c304]Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, S. Shankar Sastry:
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CDC 2022: 7423-7430 - [c303]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRL 2022: 2125-2135 - [c302]Chinmay Maheshwari, Shankar Sastry, Eric Mazumdar:
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets. NeurIPS 2022 - [i73]Victoria Tuck, Yash Vardhan Pant, Sanjit A. Seshia, S. Shankar Sastry:
DEC-LOS-RRT: Decentralized Path Planning for Multi-robot Systems with Line-of-sight Constrained Communication. CoRR abs/2203.02609 (2022) - [i72]Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, Shankar S. Sastry:
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CoRR abs/2204.01986 (2022) - [i71]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry:
Inducing Social Optimality in Games via Adaptive Incentive Design. CoRR abs/2204.05507 (2022) - [i70]Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry:
Independent and Decentralized Learning in Markov Potential Games. CoRR abs/2205.14590 (2022) - [i69]Chinmay Maheshwari, Eric Mazumdar, Shankar Sastry:
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets. CoRR abs/2206.02344 (2022) - [i68]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRR abs/2208.06721 (2022) - [i67]Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar Sastry:
Competing Bandits in Time Varying Matching Markets. CoRR abs/2210.11692 (2022) - [i66]Chih-Yuan Chiu, Kshitij Kulkarni, S. Shankar Sastry:
Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test. CoRR abs/2211.16596 (2022) - [i65]Ritwik Gupta, Alexander M. Bayen, Sarah Rohrschneider, Adrienne Fulk, Andrew W. Reddie, Sanjit A. Seshia, Shankar Sastry, Janet Napolitano:
Emerging Technology and Policy Co-Design Considerations for the Safe and Transparent Use of Small Unmanned Aerial Systems. CoRR abs/2212.02795 (2022) - 2021
- [c301]Tyler Westenbroek, Ayush Agrawal, Fernando Castañeda, S. Shankar Sastry, Koushil Sreenath:
Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers. ADHS 2021: 19-24 - [c300]Tyler Westenbroek, Xiaobin Xiong, S. Shankar Sastry, Aaron D. Ames:
Smooth Approximations for Hybrid Optimal Control Problems with Application to Robotic Walking. ADHS 2021: 181-186 - [c299]Victoria Tuck, Yash Vardhan Pant, Sanjit A. Seshia, S. Shankar Sastry:
DEC-LOS-RRT: Decentralized Path Planning for Multi-robot Systems with Line-of-sight Constrained Communication. CCTA 2021: 103-110 - [c298]David Livingston McPherson, Kaylene C. Stocking, S. Shankar Sastry:
Maximum Likelihood Constraint Inference from Stochastic Demonstrations. CCTA 2021: 1208-1213 - [c297]Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry:
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. CDC 2021: 742-749 - [c296]David Livingston McPherson, S. Shankar Sastry:
An Efficient Understandability Objective for Dynamic Optimal Control. IROS 2021: 986-992 - [c295]Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan:
Who Leads and Who Follows in Strategic Classification? NeurIPS 2021: 15257-15269 - [i64]David Livingston McPherson, Kaylene C. Stocking, S. Shankar Sastry:
Maximum Likelihood Constraint Inference from Stochastic Demonstrations. CoRR abs/2102.12554 (2021) - [i63]Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry:
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. CoRR abs/2103.15010 (2021) - [i62]Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, S. Shankar Sastry, Lillian J. Ratliff:
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization. CoRR abs/2106.09082 (2021) - [i61]Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan:
Who Leads and Who Follows in Strategic Classification? CoRR abs/2106.12529 (2021) - [i60]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry:
Dynamic Tolling for Inducing Socially Optimal Traffic Loads. CoRR abs/2110.08879 (2021) - [i59]Amay Saxena, Chih-Yuan Chiu, Joseph Menke, Ritika Shrivastava, Shankar Sastry:
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization. CoRR abs/2112.05921 (2021) - 2020
- [j110]Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry:
On Gradient-Based Learning in Continuous Games. SIAM J. Math. Data Sci. 2(1): 103-131 (2020) - [j109]Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Competitive Statistical Estimation With Strategic Data Sources. IEEE Trans. Autom. Control. 65(4): 1537-1551 (2020) - [c294]Eric Mazumdar, Lillian J. Ratliff, Michael I. Jordan, S. Shankar Sastry:
Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games. AAMAS 2020: 860-868 - [c293]Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry:
Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. CDC 2020: 118-125 - [c292]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CDC 2020: 737-744 - [c291]Vicenc Rubies-Royo, Eric Mazumdar, Roy Dong, Claire J. Tomlin, S. Shankar Sastry:
Expert Selection in High-Dimensional Markov Decision Processes. CDC 2020: 3604-3610 - [c290]Eric Mazumdar, Tyler Westenbroek, Michael I. Jordan, S. Shankar Sastry:
High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems. CDC 2020: 4275-4280 - [c289]Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan:
LESS is More: Rethinking Probabilistic Models of Human Behavior. HRI 2020: 429-437 - [c288]Dexter R. R. Scobee, S. Shankar Sastry:
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning. ICLR 2020 - [c287]Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin:
Feedback Linearization for Uncertain Systems via Reinforcement Learning. ICRA 2020: 1364-1371 - [c286]Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. L4DC 2020: 990-999 - [i58]Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan:
LESS is More: Rethinking Probabilistic Models of Human Behavior. CoRR abs/2001.04465 (2020) - [i57]Valmik Prabhu, Amay Saxena, S. Shankar Sastry:
Exponentially Stable First Order Control on Matrix Lie Groups. CoRR abs/2004.00239 (2020) - [i56]Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry:
Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. CoRR abs/2004.02766 (2020) - [i55]Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, S. Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. CoRR abs/2004.07276 (2020) - [i54]Oladapo Afolabi, Allen Y. Yang, S. Shankar Sastry:
DeepSDF x Sim(3): Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation. CoRR abs/2004.09048 (2020) - [i53]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CoRR abs/2004.10331 (2020) - [i52]Vicenc Rubies-Royo, Eric Mazumdar, Roy Dong, Claire J. Tomlin, S. Shankar Sastry:
Expert Selection in High-Dimensional Markov Decision Processes. CoRR abs/2010.15599 (2020)
2010 – 2019
- 2019
- [c285]Tyler Westenbroek, Xiaobin Xiong, Aaron D. Ames, S. Shankar Sastry:
Optimal Control of Piecewise-Smooth Control Systems via Singular Perturbations. CDC 2019: 3046-3053 - [c284]Elis Stefansson, Jaime F. Fisac, Dorsa Sadigh, S. Shankar Sastry, Karl Henrik Johansson:
Human-robot interaction for truck platooning using hierarchical dynamic games. ECC 2019: 3165-3172 - [c283]Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan:
Hierarchical Game-Theoretic Planning for Autonomous Vehicles. ICRA 2019: 9590-9596 - [i51]Eric Mazumdar, Michael I. Jordan, S. Shankar Sastry:
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games. CoRR abs/1901.00838 (2019) - [i50]Kamil Nar, Orhan Ocal, S. Shankar Sastry, Kannan Ramchandran:
Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples. CoRR abs/1901.08360 (2019) - [i49]Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Competitive Statistical Estimation with Strategic Data Sources. CoRR abs/1904.12768 (2019) - [i48]Eric Mazumdar, Lillian J. Ratliff, Michael I. Jordan, S. Shankar Sastry:
Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings. CoRR abs/1907.03712 (2019) - [i47]Dexter R. R. Scobee, S. Shankar Sastry:
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning. CoRR abs/1909.05477 (2019) - [i46]Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin:
Feedback Linearization for Unknown Systems via Reinforcement Learning. CoRR abs/1910.13272 (2019) - [i45]Kamil Nar, S. Shankar Sastry:
Persistency of Excitation for Robustness of Neural Networks. CoRR abs/1911.01043 (2019) - 2018
- [j108]Dorsa Sadigh, Nick Landolfi, Shankar S. Sastry, Sanjit A. Seshia, Anca D. Dragan:
Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state. Auton. Robots 42(7): 1405-1426 (2018) - [j107]Roy Dong, Lillian J. Ratliff, Alvaro A. Cárdenas, Henrik Ohlsson, S. Shankar Sastry:
Quantifying the Utility-Privacy Tradeoff in the Internet of Things. ACM Trans. Cyber Phys. Syst. 2(2): 8:1-8:28 (2018) - [j106]Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos:
A Robust Utility Learning Framework via Inverse Optimization. IEEE Trans. Control. Syst. Technol. 26(3): 954-970 (2018) - [c282]Tyler Westenbroek, Humberto González, S. Shankar Sastry:
A New Solution Concept and Family of Relaxations for Hybrid Dynamical Systems. CDC 2018: 743-750 - [c281]Kamil Nar, S. Shankar Sastry:
An Analytical Framework to Address the Data Exfiltration of Advanced Persistent Threats. CDC 2018: 867-873 - [c280]David Livingston McPherson, Dexter R. R. Scobee, Joseph Menke, Allen Y. Yang, S. Shankar Sastry:
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams. IROS 2018: 861-868 - [c279]Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry:
People as Sensors: Imputing Maps from Human Actions. IROS 2018: 2342-2348 - [c278]Kamil Nar, Shankar Sastry:
Step Size Matters in Deep Learning. NeurIPS 2018: 3440-3448 - [c277]Dexter R. R. Scobee, Vicenc Rubies-Royo, Claire J. Tomlin, S. Shankar Sastry:
Haptic Assistance via Inverse Reinforcement Learning. SMC 2018: 1510-1517 - [i44]Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths:
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. CoRR abs/1802.01780 (2018) - [i43]Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan:
Generating Plans that Predict Themselves. CoRR abs/1802.05250 (2018) - [i42]Kamil Nar, Shankar Sastry:
Residual Networks: Lyapunov Stability and Convex Decomposition. CoRR abs/1803.08203 (2018) - [i41]David Livingston McPherson, Dexter R. R. Scobee, Joseph Menke, Allen Y. Yang, S. Shankar Sastry:
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams. CoRR abs/1805.03328 (2018) - [i40]Kamil Nar, S. Shankar Sastry:
Step Size Matters in Deep Learning. CoRR abs/1805.08890 (2018) - [i39]Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan:
Hierarchical Game-Theoretic Planning for Autonomous Vehicles. CoRR abs/1810.05766 (2018) - 2017
- [c276]Ruoxi Jia, Roy Dong, Prashanth Ganesh, Shankar Sastry, Costas J. Spanos:
Towards a theory of free-lunch privacy in cyber-physical systems. Allerton 2017: 902-910 - [c275]Negar Mehr, Dorsa Sadigh, Roberto Horowitz, S. Shankar Sastry, Sanjit A. Seshia:
Stochastic predictive freeway ramp metering from Signal Temporal Logic specifications. ACC 2017: 4884-4889 - [c274]Ruoxi Jia, Roy Dong, Shankar Sastry, Costas J. Spanos:
Optimal sensor-controller codesign for privacy in dynamical systems. CDC 2017: 4004-4011 - [c273]Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Statistical estimation with strategic data sources in competitive settings. CDC 2017: 4994-4999 - [c272]Kamil Nar, Lillian J. Ratliff, Shankar Sastry:
Learning prospect theory value function and reference point of a sequential decision maker. CDC 2017: 5770-5775 - [c271]Eric Mazumdar, Lillian J. Ratliff, Tanner Fiez, S. Shankar Sastry:
Gradient-based inverse risk-sensitive reinforcement learning. CDC 2017: 5796-5801 - [c270]Ruoxi Jia, Roy Dong, S. Shankar Sastry, Costas J. Spanos:
Privacy-enhanced architecture for occupancy-based HVAC Control. ICCPS 2017: 177-186 - [c269]Daniel J. Calderone, S. Shankar Sastry:
Markov decision process routing games. ICCPS 2017: 273-279 - [c268]Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan:
Pragmatic-Pedagogic Value Alignment. ISRR 2017: 49-57 - [c267]Daniel J. Calderone, Roy Dong, S. Shankar Sastry:
External-cost continuous-type wardrop equilibria in routing games. ITSC 2017: 1-6 - [c266]Daniel J. Calderone, Shankar Sastry:
Infinite-horizon average-cost Markov decision process routing games. ITSC 2017: 1-6 - [c265]Dorsa Sadigh, Anca D. Dragan, Shankar Sastry, Sanjit A. Seshia:
Active Preference-Based Learning of Reward Functions. Robotics: Science and Systems 2017 - [i38]Joshua Achiam, Shankar Sastry:
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning. CoRR abs/1703.01732 (2017) - [i37]Roy Dong, Eric Mazumdar, S. Shankar Sastry:
Optimal Causal Imputation for Control. CoRR abs/1703.07049 (2017) - [i36]Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Statistical Estimation with Strategic Data Sources in Competitive Settings. CoRR abs/1704.01195 (2017) - [i35]Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos:
A Robust Utility Learning Framework via Inverse Optimization. CoRR abs/1704.07933 (2017) - [i34]Katherine Rose Driggs-Campbell, Roy Dong, S. Shankar Sastry, Ruzena Bajcsy:
Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. CoRR abs/1705.00748 (2017) - [i33]Eric Mazumdar, Roy Dong, Vicenc Rubies-Royo, Claire J. Tomlin, S. Shankar Sastry:
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes. CoRR abs/1707.05714 (2017) - [i32]Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan:
Pragmatic-Pedagogic Value Alignment. CoRR abs/1707.06354 (2017) - [i31]Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry:
People as Sensors: Imputing Maps from Human Actions. CoRR abs/1711.01022 (2017) - 2016
- [b2]René Vidal, Yi Ma, S. Shankar Sastry:
Generalized Principal Component Analysis. Interdisciplinary applied mathematics 40, Springer 2016, ISBN 978-0-387-87810-2, pp. 1-566 - [j105]Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry:
Dissimilarity-Based Sparse Subset Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2182-2197 (2016) - [j104]Samuel A. Burden, S. Shankar Sastry, Daniel E. Koditschek, Shai Revzen:
Event-Selected Vector Field Discontinuities Yield Piecewise-Differentiable Flows. SIAM J. Appl. Dyn. Syst. 15(2): 1227-1267 (2016) - [j103]Lillian J. Ratliff, Samuel A. Burden, S. Shankar Sastry:
On the Characterization of Local Nash Equilibria in Continuous Games. IEEE Trans. Autom. Control. 61(8): 2301-2307 (2016) - [j102]Insoon Yang, Samuel A. Burden, Ram Rajagopal, S. Shankar Sastry, Claire J. Tomlin:
Approximation Algorithms for Optimization of Combinatorial Dynamical Systems. IEEE Trans. Autom. Control. 61(9): 2644-2649 (2016) - [j101]Pushkin Kachroo, Shaurya Agarwal, Shankar Sastry:
Inverse Problem for Non-Viscous Mean Field Control: Example From Traffic. IEEE Trans. Autom. Control. 61(11): 3412-3421 (2016) - [j100]Pushkin Kachroo, Shankar Sastry:
Travel Time Dynamics for Intelligent Transportation Systems: Theory and Applications. IEEE Trans. Intell. Transp. Syst. 17(2): 385-394 (2016) - [j99]Pushkin Kachroo, Shankar Sastry:
Traffic Assignment Using a Density-Based Travel-Time Function for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 17(5): 1438-1447 (2016) - [c264]Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths:
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. AAMAS 2016: 940-948 - [c263]Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, Costas J. Spanos, S. Shankar Sastry:
Inverse modeling of non-cooperative agents via mixture of utilities. CDC 2016: 6327-6334 - [c262]Daniel J. Calderone, Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry:
Understanding the impact of parking on urban mobility via routing games on queue-flow networks. CDC 2016: 7605-7610 - [c261]Aron Laszka, Waseem Abbas, S. Shankar Sastry, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos:
Optimal thresholds for intrusion detection systems. HotSoS 2016: 72-81 - [c260]Shromona Ghosh, Dorsa Sadigh, Pierluigi Nuzzo, Vasumathi Raman, Alexandre Donzé, Alberto L. Sangiovanni-Vincentelli, S. Shankar Sastry, Sanjit A. Seshia:
Diagnosis and Repair for Synthesis from Signal Temporal Logic Specifications. HSCC 2016: 31-40 - [c259]Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan:
Information gathering actions over human internal state. IROS 2016: 66-73 - [c258]Tara Rezvani, Katherine Rose Driggs-Campbell, Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Ruzena Bajcsy:
Towards trustworthy automation: User interfaces that convey internal and external awareness. ITSC 2016: 682-688 - [c257]Dorsa Sadigh, Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan:
Planning for Autonomous Cars that Leverage Effects on Human Actions. Robotics: Science and Systems 2016 - [c256]Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan:
Generating Plans that Predict Themselves. WAFR 2016: 144-159 - [i30]Roy Dong, Walid Krichene, Alexandre M. Bayen, S. Shankar Sastry:
Differential Privacy of Populations in Routing Games. CoRR abs/1601.04041 (2016) - [i29]Shromona Ghosh, Dorsa Sadigh, Pierluigi Nuzzo, Vasumathi Raman, Alexandre Donzé, Alberto L. Sangiovanni-Vincentelli, S. Shankar Sastry, Sanjit A. Seshia:
Diagnosis and Repair for Synthesis from Signal Temporal Logic Specifications. CoRR abs/1602.01883 (2016) - [i28]Ruoxi Jia, Roy Dong, S. Shankar Sastry, Costas J. Spanos:
Privacy-Enhanced Architecture for Occupancy-based HVAC Control. CoRR abs/1607.03140 (2016) - 2015
- [j98]Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. Int. J. Comput. Vis. 114(2-3): 272-287 (2015) - [j97]Samuel A. Burden, Humberto González, Ramanarayan Vasudevan, Ruzena Bajcsy, S. Shankar Sastry:
Metrization and Simulation of Controlled Hybrid Systems. IEEE Trans. Autom. Control. 60(9): 2307-2320 (2015) - [j96]Samuel A. Burden, Shai Revzen, S. Shankar Sastry:
Model Reduction Near Periodic Orbits of Hybrid Dynamical Systems. IEEE Trans. Autom. Control. 60(10): 2626-2639 (2015) - [j95]Pushkin Kachroo, Neveen Shlayan, Alexander Paz, Shankar Sastry, Shital K. Patel:
Model-Based Methodology for Validation of Traffic Flow Detectors by Minimizing Human Bias in Video Data Processing. IEEE Trans. Intell. Transp. Syst. 16(4): 1851-1860 (2015) - [j94]Shaurya Agarwal, Pushkin Kachroo, Sergio Contreras, Shankar Sastry:
Feedback-Coordinated Ramp Control of Consecutive On-Ramps Using Distributed Modeling and Godunov-Based Satisfiable Allocation. IEEE Trans. Intell. Transp. Syst. 16(5): 2384-2392 (2015) - [c255]Ehsan Elhamifar, Shankar Sastry:
Energy Disaggregation via Learning Powerlets and Sparse Coding. AAAI 2015: 629-635 - [c254]Dexter Scobee, Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, Michel Verhaegen, S. Shankar Sastry:
Nuclear norm minimization for blind subspace identification (N2BSID). CDC 2015: 2127-2132 - [c253]Roy Dong, Walid Krichene, Alexandre M. Bayen, S. Shankar Sastry:
Differential privacy of populations in routing games. CDC 2015: 2798-2803 - [c252]Daniel J. Calderone, Lillian J. Ratliff, S. Shankar Sastry:
Lane pricing via decision-theoretic lane changing model of driver behavior. CDC 2015: 3457-3462 - [c251]Jaime F. Fisac, S. Shankar Sastry:
The pursuit-evasion-defense differential game in dynamic constrained environments. CDC 2015: 4549-4556 - [c250]Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry:
Formal methods for semi-autonomous driving. DAC 2015: 148:1-148:5 - [c249]Chi-Pang Lam, Allen Y. Yang, S. Shankar Sastry:
An efficient algorithm for discrete-time hidden mode stochastic hybrid systems. ECC 2015: 1212-1218 - [c248]Mo Chen, Jaime F. Fisac, Shankar Sastry, Claire J. Tomlin:
Safe sequential path planning of multi-vehicle systems via double-obstacle Hamilton-Jacobi-Isaacs variational inequality. ECC 2015: 3304-3309 - [c247]Jaime F. Fisac, Mo Chen, Claire J. Tomlin, S. Shankar Sastry:
Reach-avoid problems with time-varying dynamics, targets and constraints. HSCC 2015: 11-20 - [c246]Ming Jin, Lillian J. Ratliff, Ioannis C. Konstantakopoulos, Costas J. Spanos, Shankar Sastry:
REST: a reliable estimation of stopping time algorithm for social game experiments. ICCPS 2015: 90-99 - [c245]Aaron M. Bestick, Samuel A. Burden, Giorgia Willits, Nikhil Naikal, S. Shankar Sastry, Ruzena Bajcsy:
Personalized kinematics for human-robot collaborative manipulation. IROS 2015: 1037-1044 - [c244]Chi-Pang Lam, Allen Y. Yang, Katherine Rose Driggs-Campbell, Ruzena Bajcsy, S. Shankar Sastry:
Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems. IROS 2015: 5776-5783 - 2014
- [j93]Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry:
Scalable anomaly detection in large homogeneous populations. Autom. 50(5): 1459-1465 (2014) - [j92]Pushkin Kachroo, Lillian J. Ratliff, Shankar Sastry:
Analysis of the Godunov-Based Hybrid Model for Ramp Metering and Robust Feedback Control Design. IEEE Trans. Intell. Transp. Syst. 15(5): 2132-2142 (2014) - [j91]Patrick Loiseau, Galina Schwartz, John Musacchio, Saurabh Amin, S. Shankar Sastry:
Incentive Mechanisms for Internet Congestion Management: Fixed-Budget Rebate Versus Time-of-Day Pricing. IEEE/ACM Trans. Netw. 22(2): 647-661 (2014) - [j90]Henrik Ohlsson, Yonina C. Eldar, Allen Y. Yang, S. Shankar Sastry:
Compressive Shift Retrieval. IEEE Trans. Signal Process. 62(16): 4105-4113 (2014) - [c243]Dorsa Sadigh, Katherine Rose Driggs-Campbell, Alberto Puggelli, Wenchao Li, Victor Shia, Ruzena Bajcsy, Alberto L. Sangiovanni-Vincentelli, S. Shankar Sastry, Sanjit A. Seshia:
Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior. AAAI Spring Symposia 2014 - [c242]Lillian J. Ratliff, Ming Jin, Ioannis C. Konstantakopoulos, Costas J. Spanos, S. Shankar Sastry:
Social game for building energy efficiency: Incentive design. Allerton 2014: 1011-1018 - [c241]Abhishek Gupta, Galina Schwartz, Cedric Langbort, S. Shankar Sastry, Tamer Basar:
A three-stage Colonel Blotto game with applications to cyberphysical security. ACC 2014: 3820-3825 - [c240]Lillian J. Ratliff, Samuel A. Burden, S. Shankar Sastry:
Genericity and structural stability of non-degenerate differential Nash equilibria. ACC 2014: 3990-3995 - [c239]Dorsa Sadigh, Eric S. Kim, Samuel Coogan, S. Shankar Sastry, Sanjit A. Seshia:
A learning based approach to control synthesis of Markov decision processes for linear temporal logic specifications. CDC 2014: 1091-1096 - [c238]Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, Alvaro A. Cárdenas, S. Shankar Sastry:
Privacy and customer segmentation in the smart grid. CDC 2014: 2136-2141 - [c237]Chi-Pang Lam, S. Shankar Sastry:
A POMDP framework for human-in-the-loop system. CDC 2014: 6031-6036 - [c236]Roy Dong, Lillian J. Ratliff, Henrik Ohlsson, S. Shankar Sastry:
Fundamental limits of nonintrusive load monitoring. HiCoNS 2014: 11-18 - [c235]Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, S. Shankar Sastry:
Energy efficiency via incentive design and utility learning. HiCoNS 2014: 57-58 - [c234]Dorsa Sadigh, Katherine Rose Driggs-Campbell, Ruzena Bajcsy, S. Shankar Sastry, Sanjit A. Seshia:
User interface design and verification for semi-autonomous driving. HiCoNS 2014: 63-64 - [c233]Galina A. Schwartz, S. Shankar Sastry:
Cyber-insurance framework for large scale interdependent networks. HiCoNS 2014: 145-154 - [c232]Nikhil Naikal, Pedram Lajevardi, Shankar S. Sastry:
Joint detection and recognition of human actions in wireless surveillance camera networks. ICRA 2014: 4747-4754 - [c231]Galina Schwartz, Patrick Loiseau, Shankar S. Sastry:
The heterogeneous Colonel Blotto game. NetGCooP 2014: 232-238 - [c230]Wenchao Li, Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia:
Synthesis for Human-in-the-Loop Control Systems. TACAS 2014: 470-484 - [i27]Katherine Rose Driggs-Campbell, Guillaume Bellegarda, Victor Shia, S. Shankar Sastry, Ruzena Bajcsy:
Experimental Design for Human-in-the-Loop Driving Simulations. CoRR abs/1401.5039 (2014) - [i26]Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. CoRR abs/1402.1879 (2014) - [i25]Roy Dong, Alvaro A. Cárdenas, Lillian J. Ratliff, Henrik Ohlsson, S. Shankar Sastry:
Quantifying the Utility-Privacy Tradeoff in the Smart Grid. CoRR abs/1406.2568 (2014) - [i24]Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos:
Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis. CoRR abs/1407.0727 (2014) - [i23]Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry:
Dissimilarity-based Sparse Subset Selection. CoRR abs/1407.6810 (2014) - [i22]Jan O. Biermeyer, Todd Templeton, Christian Berger, Humberto González, Nikhil Naikal, Bernhard Rumpe, S. Shankar Sastry:
Rapid Integration and Calibration of New Sensors Using the Berkeley Aachen Robotics Toolkit (BART). CoRR abs/1409.2373 (2014) - [i21]Dorsa Sadigh, Eric S. Kim, Samuel Coogan, S. Shankar Sastry, Sanjit A. Seshia:
A Learning Based Approach to Control Synthesis of Markov Decision Processes for Linear Temporal Logic Specifications. CoRR abs/1409.5486 (2014) - [i20]Lillian J. Ratliff, Carlos A. Barreto, Roy Dong, Henrik Ohlsson, Alvaro A. Cárdenas, S. Shankar Sastry:
Effects of Risk on Privacy Contracts for Demand-Side Management. CoRR abs/1409.7926 (2014) - [i19]Mo Chen, Jaime F. Fisac, Shankar Sastry, Claire J. Tomlin:
Safe Sequential Path Planning of Multi-Vehicle Systems via Double-Obstacle Hamilton-Jacobi-Isaacs Variational Inequality. CoRR abs/1412.7223 (2014) - 2013
- [j89]Saurabh Amin, Galina A. Schwartz, Shankar Sastry:
Security of interdependent and identical networked control systems. Autom. 49(1): 186-192 (2013) - [j88]Anil Aswani, Humberto González, S. Shankar Sastry, Claire J. Tomlin:
Provably safe and robust learning-based model predictive control. Autom. 49(5): 1216-1226 (2013) - [j87]Ramanarayan Vasudevan, Humberto González, Ruzena Bajcsy, S. Shankar Sastry:
Consistent Approximations for the Optimal Control of Constrained Switched Systems - Part 1: A Conceptual Algorithm. SIAM J. Control. Optim. 51(6): 4463-4483 (2013) - [j86]Ramanarayan Vasudevan, Humberto González, Ruzena Bajcsy, S. Shankar Sastry:
Consistent Approximations for the Optimal Control of Constrained Switched Systems - Part 2: An Implementable Algorithm. SIAM J. Control. Optim. 51(6): 4484-4503 (2013) - [j85]Saurabh Amin, Xavier Litrico, S. Shankar Sastry, Alexandre M. Bayen:
Cyber Security of Water SCADA Systems - Part II: Attack Detection Using Enhanced Hydrodynamic Models. IEEE Trans. Control. Syst. Technol. 21(5): 1679-1693 (2013) - [j84]Saurabh Amin, Xavier Litrico, Shankar Sastry, Alexandre M. Bayen:
Cyber Security of Water SCADA Systems - Part I: Analysis and Experimentation of Stealthy Deception Attacks. IEEE Trans. Control. Syst. Technol. 21(5): 1963-1970 (2013) - [j83]Allen Y. Yang, Zihan Zhou, A. G. Balasubramanian, S. Shankar Sastry, Yi Ma:
Fast 퓁 1 -Minimization Algorithms for Robust Face Recognition. IEEE Trans. Image Process. 22(8): 3234-3246 (2013) - [j82]Phoebus Chen, Kirak Hong, Nikhil Naikal, S. Shankar Sastry, J. Doug Tygar, Posu Yan, Allen Y. Yang, Lung-Chung Chang, Leon Lin, Simon Wang, Edgar J. Lobaton, Songhwai Oh, Parvez Ahammad:
A low-bandwidth camera sensor platform with applications in smart camera networks. ACM Trans. Sens. Networks 9(2): 21:1-21:23 (2013) - [c229]Henrik Ohlsson, Allen Y. Yang, Roy Dong, S. Shankar Sastry:
Nonlinear basis pursuit. ACSSC 2013: 115-119 - [c228]Roy Dong, Lillian J. Ratliff, Henrik Ohlsson, S. Shankar Sastry:
Energy disaggregation via adaptive filtering. Allerton 2013: 173-180 - [c227]Lillian J. Ratliff, Samuel Burden, S. Shankar Sastry:
Characterization and computation of local Nash equilibria in continuous games. Allerton 2013: 917-924 - [c226]Samuel Coogan, Lillian J. Ratliff, Daniel J. Calderone, Claire J. Tomlin, S. Shankar Sastry:
Energy management via pricing in LQ dynamic games. ACC 2013: 443-448 - [c225]Insoon Yang, Samuel Burden, S. Shankar Sastry, Claire J. Tomlin:
Infinitesimal interconnection variation in nonlinear networked systems. CDC 2013: 1417-1422 - [c224]Daniel J. Calderone, Lillian J. Ratliff, S. Shankar Sastry:
Pricing design for robustness in linear quadratic games. CDC 2013: 4349-4354 - [c223]Roy Dong, Lillian J. Ratliff, Henrik Ohlsson, S. Shankar Sastry:
A dynamical systems approach to energy disaggregation. CDC 2013: 6335-6340 - [c222]Henrik Ohlsson, Michel Verhaegen, S. Shankar Sastry:
Nonlinear Compressive Particle Filtering. CDC 2013: 7054-7059 - [c221]Liansheng Zhuang, Allen Y. Yang, Zihan Zhou, S. Shankar Sastry, Yi Ma:
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer. CVPR 2013: 3546-3553 - [c220]Aaron M. Bestick, Lillian J. Ratliff, Posu Yan, Ruzena Bajcsy, S. Shankar Sastry:
An inverse correlated equilibrium framework for utility learning in multiplayer, noncooperative settings. HiCoNS 2013: 9-16 - [c219]Henrik Ohlsson, Yonina C. Eldar, Allen Y. Yang, Shankar S. Sastry:
Compressive shift retrieval. ICASSP 2013: 6034-6038 - [c218]Ehsan Elhamifar, Guillermo Sapiro, Allen Y. Yang, S. Shankar Sastry:
A Convex Optimization Framework for Active Learning. ICCV 2013: 209-216 - [c217]Chi-Pang Lam, Allen Y. Yang, Ehsan Elhamifar, S. Shankar Sastry:
Multiscale TILT Feature Detection with Application to Geometric Image Segmentation. ICCV Workshops 2013: 570-577 - [i18]Henrik Ohlsson, Allen Y. Yang, Roy Dong, Michel Verhaegen, S. Shankar Sastry:
Quadratic Compressive Sensing - A Nonlinear Extension of Compressive Sensing. CoRR abs/1301.7002 (2013) - [i17]Henrik Ohlsson, Yonina C. Eldar, Allen Y. Yang, Shankar S. Sastry:
Compressive Shift Retrieval. CoRR abs/1303.4996 (2013) - [i16]Henrik Ohlsson, Lillian J. Ratliff, Roy Dong, S. Shankar Sastry:
Blind Identification of ARX Models with Piecewise Constant Inputs. CoRR abs/1303.6719 (2013) - [i15]Henrik Ohlsson, Allen Y. Yang, Roy Dong, S. Shankar Sastry:
Nonlinear Basis Pursuit. CoRR abs/1304.5802 (2013) - [i14]Patrick Loiseau, Galina Schwartz, John Musacchio, Saurabh Amin, S. Shankar Sastry:
Incentive Mechanisms for Internet Congestion Management: Fixed-Budget Rebate versus Time-of-Day Pricing. CoRR abs/1305.6971 (2013) - [i13]Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry:
Scalable Anomaly Detection in Large Homogenous Populations. CoRR abs/1309.5803 (2013) - [i12]Henrik Ohlsson, Michel Verhaegen, S. Shankar Sastry:
Nonlinear Compressive Particle Filtering. CoRR abs/1309.7315 (2013) - [i11]Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, S. Shankar Sastry:
Behavior Modification and Utility Learning via Energy Disaggregation. CoRR abs/1312.1394 (2013) - [i10]Henrik Ohlsson, Lillian J. Ratliff, Roy Dong, S. Shankar Sastry:
Blind Identification via Lifting. CoRR abs/1312.2060 (2013) - [i9]Dorsa Sadigh, Henrik Ohlsson, S. Shankar Sastry, Sanjit A. Seshia:
Robust Subspace System Identification via Weighted Nuclear Norm Optimization. CoRR abs/1312.2132 (2013) - 2012
- [j81]J. Mikael Eklund, Jonathan Sprinkle, Shankar Sastry:
Switched and Symmetric Pursuit/Evasion Games Using Online Model Predictive Control With Application to Autonomous Aircraft. IEEE Trans. Control. Syst. Technol. 20(3): 604-620 (2012) - [c216]Nikhil Naikal, Dheeraj Singaraju, S. Shankar Sastry:
Using Models of Objects with Deformable Parts for Joint Categorization and Segmentation of Objects. ACCV (2) 2012: 79-93 - [c215]Lillian J. Ratliff, Samuel Coogan, Daniel J. Calderone, S. Shankar Sastry:
Pricing in linear-quadratic dynamic games. Allerton Conference 2012: 1798-1805 - [c214]Alvaro A. Cárdenas, Saurabh Amin, Galina Schwartz, Roy Dong, Shankar Sastry:
A game theory model for electricity theft detection and privacy-aware control in AMI systems. Allerton Conference 2012: 1830-1837 - [c213]Dheeraj Singaraju, Roberto Tron, Ehsan Elhamifar, Allen Y. Yang, Shankar S. Sastry:
On the Lagrangian biduality of sparsity minimization problems. ICASSP 2012: 3429-3432 - [c212]Henrik Ohlsson, Allen Y. Yang, Roy Dong, S. Shankar Sastry:
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem. NIPS 2012: 1376-1384 - [e5]S. Shankar Sastry, Tamer Basar, Saurabh Amin, Gabor Karsai:
1st International Conference on High Confidence Networked Systems (HiCoNS - at CPS Week 2012), HiCoNS '12, Beijing, China, April 17-18, 2012. ACM 2012, ISBN 978-1-4503-1263-9 [contents] - [i8]Dheeraj Singaraju, Ehsan Elhamifar, Roberto Tron, Allen Y. Yang, S. Shankar Sastry:
On the Lagrangian Biduality of Sparsity Minimization Problems. CoRR abs/1201.3674 (2012) - [i7]René Vidal, Yi Ma, Shankar Sastry:
Generalized Principal Component Analysis (GPCA). CoRR abs/1202.4002 (2012) - [i6]Anil Aswani, Humberto González, S. Shankar Sastry, Claire J. Tomlin:
Statistical Results on Filtering and Epi-convergence for Learning-Based Model Predictive Control. CoRR abs/1208.0864 (2012) - 2011
- [j80]Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, Shankar S. Sastry, Yi Ma:
Segmentation of Natural Images by Texture and Boundary Compression. Int. J. Comput. Vis. 95(1): 86-98 (2011) - [j79]Hoam Chung, Songhwai Oh, David Hyunchul Shim, S. Shankar Sastry:
Toward Robotic Sensor Webs: Algorithms, Systems, and Experiments. Proc. IEEE 99(9): 1562-1586 (2011) - [c211]Victor Shia, Allen Y. Yang, S. Shankar Sastry, Andrew Wagner, Yi Ma:
Fast ℓ1-minimization and parallelization for face recognition. ACSCC 2011: 1199-1203 - [c210]Hoam Chung, Elijah Polak, Johannes O. Royset, S. Shankar Sastry:
Optimal periodic patrolling trajectories of UUVs guarding a channel. ACC 2011: 888-893 - [c209]Alvaro A. Cárdenas, Saurabh Amin, Zong-Syun Lin, Yu-Lun Huang, Chi-Yen Huang, Shankar Sastry:
Attacks against process control systems: risk assessment, detection, and response. AsiaCCS 2011: 355-366 - [c208]Samuel Burden, Humberto González, Ramanarayan Vasudevan, Ruzena Bajcsy, S. Shankar Sastry:
Numerical integration of hybrid dynamical systems via domain relaxation. CDC/ECC 2011: 3958-3965 - [c207]Saurabh Amin, Galina A. Schwartz, S. Shankar Sastry:
On the interdependence of reliability and security in Networked Control Systems. CDC/ECC 2011: 4078-4083 - [c206]Samuel Burden, Shai Revzen, S. Shankar Sastry:
Dimension reduction near periodic orbits of hybrid systems. CDC/ECC 2011: 6116-6121 - [c205]Shankar Sastry:
Towards a theory of high confidence networked control systems: action webs. CSIIRW 2011: 8 - [c204]Nikhil Naikal, Allen Y. Yang, Shankar Sastry:
Informative feature selection for object recognition via Sparse PCA. ICCV 2011: 818-825 - [c203]Bonnie Zhu, Anthony D. Joseph, Shankar Sastry:
A Taxonomy of Cyber Attacks on SCADA Systems. iThings/CPSCom 2011: 380-388 - [c202]Patrick Loiseau, Galina A. Schwartz, John Musacchio, Saurabh Amin, S. Shankar Sastry:
Congestion pricing using a raffle-based scheme. NetGCoop 2011: 1-8 - [c201]Bonnie Zhu, Shankar Sastry:
Revisit Dynamic ARIMA Based Anomaly Detection. SocialCom/PASSAT 2011: 1263-1268 - [i5]Phoebus Chen, Karl Henrik Johansson, Paul Balister, Béla Bollobás, Shankar Sastry:
Multi-path Routing Metrics for Reliable Wireless Mesh Routing Topologies. CoRR abs/1103.5957 (2011) - [i4]Anil Aswani, Humberto González, S. Shankar Sastry, Claire J. Tomlin:
Provably Safe and Robust Learning-Based Model Predictive Control. CoRR abs/1107.2487 (2011) - 2010
- [j78]Sean Barnum, Shankar Sastry, John A. Stankovic:
Roundtable: Reliability of Embedded and Cyber-Physical Systems. IEEE Secur. Priv. 8(5): 27-32 (2010) - [j77]Shankar R. Rao, Allen Y. Yang, Shankar Sastry, Yi Ma:
Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views. Int. J. Comput. Vis. 88(3): 425-446 (2010) - [j76]Vincent Duindam, Jijie Xu, Ron Alterovitz, Shankar Sastry, Kenneth Y. Goldberg:
Three-dimensional Motion Planning Algorithms for Steerable Needles Using Inverse Kinematics. Int. J. Robotics Res. 29(7): 789-800 (2010) - [j75]Allen Y. Yang, Michael Gastpar, Ruzena Bajcsy, S. Shankar Sastry:
Distributed Sensor Perception via Sparse Representation. Proc. IEEE 98(6): 1077-1088 (2010) - [j74]Alessandro Abate, John Lygeros, Shankar S. Sastry:
Probabilistic safety and optimal control for survival analysis of Bacillus subtilis. Syst. Control. Lett. 59(1): 79-85 (2010) - [j73]Pål Johan From, Vincent Duindam, Kristin Ytterstad Pettersen, Jan Tommy Gravdahl, Shankar Sastry:
Singularity-free dynamic equations of vehicle-manipulator systems. Simul. Model. Pract. Theory 18(6): 712-731 (2010) - [j72]Edgar J. Lobaton, Ramanarayan Vasudevan, Ruzena Bajcsy, Shankar Sastry:
A Distributed Topological Camera Network Representation for Tracking Applications. IEEE Trans. Image Process. 19(10): 2516-2529 (2010) - [c200]Debasish Chatterjee, Saurabh Amin, Peter Hokayem, John Lygeros, Shankar Sastry:
Mean-square boundedness of stochastic networked control systems with bounded control inputs. CDC 2010: 4759-4764 - [c199]André Teixeira, Saurabh Amin, Henrik Sandberg, Karl Henrik Johansson, Shankar S. Sastry:
Cyber security analysis of state estimators in electric power systems. CDC 2010: 5991-5998 - [c198]Humberto González, Ramanarayan Vasudevan, Maryam Kamgarpour, S. Shankar Sastry, Ruzena Bajcsy, Claire J. Tomlin:
A numerical method for the optimal control of switched systems. CDC 2010: 7519-7526 - [c197]Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry:
Towards an efficient distributed object recognition system in wireless smart camera networks. FUSION 2010: 1-8 - [c196]Saurabh Amin, Galina A. Schwartz, S. Shankar Sastry:
Security Interdependencies for Networked Control Systems with Identical Agents. GameSec 2010: 107-122 - [c195]Humberto González, Ramanarayan Vasudevan, Maryam Kamgarpour, S. Shankar Sastry, Ruzena Bajcsy, Claire J. Tomlin:
A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems. HSCC 2010: 51-60 - [c194]Saurabh Amin, Xavier Litrico, Shankar Sastry, Alexandre M. Bayen:
Stealthy deception attacks on water SCADA systems. HSCC 2010: 161-170 - [c193]Andrew B. Godbehere, S. Shankar Sastry:
Stabilization of planar switched linear systems using polar coordinates. HSCC 2010: 283-292 - [c192]Allen Y. Yang, S. Shankar Sastry, Arvind Ganesh, Yi Ma:
Fast l1-minimization algorithms and an application in robust face recognition: A review. ICIP 2010: 1849-1852 - [c191]Allen Y. Yang, Zihan Zhou, Yi Ma, Shankar Sastry:
Towards a robust face recognition system using compressive sensing. INTERSPEECH 2010: 2250-2253 - [i3]Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Segmentation of Natural Images by Texture and Boundary Compression. CoRR abs/1006.3679 (2010) - [i2]Allen Y. Yang, Arvind Ganesh, Zihan Zhou, Shankar Sastry, Yi Ma:
A Review of Fast l1-Minimization Algorithms for Robust Face Recognition. CoRR abs/1007.3753 (2010)
2000 – 2009
- 2009
- [j71]Alvaro A. Cárdenas, Tanya G. Roosta, Shankar Sastry:
Rethinking security properties, threat models, and the design space in sensor networks: A case study in SCADA systems. Ad Hoc Networks 7(8): 1434-1447 (2009) - [j70]Alessandro Abate, Ashish Tiwari, Shankar Sastry:
Box invariance in biologically-inspired dynamical systems. Autom. 45(7): 1601-1610 (2009) - [j69]Yu-Lun Huang, Alvaro A. Cárdenas, Saurabh Amin, Zong-Syun Lin, Hsin-Yi Tsai, Shankar Sastry:
Understanding the physical and economic consequences of attacks on control systems. Int. J. Crit. Infrastructure Prot. 2(3): 73-83 (2009) - [j68]Allen Y. Yang, Roozbeh Jafari, Shankar Sastry, Ruzena Bajcsy:
Distributed recognition of human actions using wearable motion sensor networks. J. Ambient Intell. Smart Environ. 1(2): 103-115 (2009) - [j67]John Wright, Allen Y. Yang, Arvind Ganesh, S. Shankar Sastry, Yi Ma:
Robust Face Recognition via Sparse Representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 210-227 (2009) - [j66]Milosh Drezgich, Andrew P. Hines, Mohan Sarovar, Shankar Sastry:
Complete characterization of mixing time for the continuous quantum walk on the hypercube with markovian decoherence model. Quantum Inf. Comput. 9(9&10): 856-878 (2009) - [j65]Jonathan Sprinkle, J. Mikael Eklund, Humberto González, Esten Ingar Grøtli, Ben Upcroft, Alexei Makarenko, Will Uther, Michael Moser, Robert Fitch, Hugh F. Durrant-Whyte, Shankar Sastry:
Model-based design: a report from the trenches of the DARPA Urban Challenge. Softw. Syst. Model. 8(4): 551-566 (2009) - [j64]Songhwai Oh, Stuart Russell, Shankar Sastry:
Markov Chain Monte Carlo Data Association for Multi-Target Tracking. IEEE Trans. Autom. Control. 54(3): 481-497 (2009) - [j63]Hoam Chung, Elijah Polak, Shankar Sastry:
An External Active-Set Strategy for Solving Optimal Control Problems. IEEE Trans. Autom. Control. 54(5): 1129-1133 (2009) - [j62]Eric Guenterberg, Allen Y. Yang, Hassan Ghasemzadeh, Roozbeh Jafari, Ruzena Bajcsy, Shankar Sastry:
A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors. IEEE Trans. Inf. Technol. Biomed. 13(6): 1019-1030 (2009) - [c190]Shankar R. Rao, Hossein Mobahi, Allen Y. Yang, Shankar Sastry, Yi Ma:
Natural Image Segmentation with Adaptive Texture and Boundary Encoding. ACCV (1) 2009: 135-146 - [c189]Philip Kuryloski, Annarita Giani, Roberta Giannantonio, Katherine Gilani, Raffaele Gravina, Ville-Pekka Seppä, Edmund Y. W. Seto, Victor Shia, Curtis Wang, Posu Yan, Allen Y. Yang, Jari A. K. Hyttinen, Shankar Sastry, Stephen B. Wicker, Ruzena Bajcsy:
DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications. BSN 2009: 92-97 - [c188]Allen Y. Yang, Subhransu Maji, Kirak Hong, Posu Yan, S. Shankar Sastry:
Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition. FUSION 2009: 1867-1874 - [c187]Saurabh Amin, Alvaro A. Cárdenas, Shankar Sastry:
Safe and Secure Networked Control Systems under Denial-of-Service Attacks. HSCC 2009: 31-45 - [c186]Edgar J. Lobaton, Ramanarayan Vasudevan, Shankar Sastry, Ruzena Bajcsy:
Robust construction of the Camera Network Complex for topology recovery. ICDSC 2009: 1-8 - [c185]Allen Y. Yang, Subhransu Maji, C. Mario Christoudias, Trevor Darrell, Jitendra Malik, S. Shankar Sastry:
Multiple-view object recognition in band-limited distributed camera networks. ICDSC 2009: 1-8 - [c184]Pål Johan From, Vincent Duindam, Jan Tommy Gravdahl, Shankar Sastry:
Modeling and motion planning for mechanisms on a non-inertial base. ICRA 2009: 3320-3326 - [c183]Edgar J. Lobaton, Parvez Ahammad, Shankar Sastry:
Algebraic approach to recovering topological information in distributed camera networks. IPSN 2009: 193-204 - [c182]Kirak Hong, Posu Yan, Phoebus Chen, Shankar Sastry, Songhwai Oh:
Poster abstract: Multihop routing in camera sensor networks - An experimental study. IPSN 2009: 381-382 - [p3]Edgar J. Lobaton, S. Shankar Sastry, Parvez Ahammad:
Building an Algebraic Topological Model of Wireless Camera Networks. Multi-Camera Networks 2009: 95-115 - [p2]Jeremy Schiff, Marci Meingast, Deirdre K. Mulligan, Shankar Sastry, Ken Goldberg:
Respectful Cameras: Detecting Visual Markers in Real-Time to Address Privacy Concerns. Protecting Privacy in Video Surveillance 2009: 65-89 - 2008
- [j61]Alessandro Abate, Maria Prandini, John Lygeros, Shankar Sastry:
Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems. Autom. 44(11): 2724-2734 (2008) - [j60]Allen Y. Yang, John Wright, Yi Ma, S. Shankar Sastry:
Unsupervised segmentation of natural images via lossy data compression. Comput. Vis. Image Underst. 110(2): 212-225 (2008) - [j59]Sameer Pai, Sergio A. Bermudez, Stephen B. Wicker, Marci Meingast, Tanya G. Roosta, Shankar Sastry, Deirdre K. Mulligan:
Transactional Confidentiality in Sensor Networks. IEEE Secur. Priv. 6(4): 28-35 (2008) - [j58]Chuohao Yeo, Parvez Ahammad, Kannan Ramchandran, Shankar Sastry:
High-Speed Action Recognition and Localization in Compressed Domain Videos. IEEE Trans. Circuits Syst. Video Technol. 18(8): 1006-1015 (2008) - [j57]Tanya G. Roosta, Martin J. Wainwright, Shankar S. Sastry:
Convergence Analysis of Reweighted Sum-Product Algorithms. IEEE Trans. Signal Process. 56(9): 4293-4305 (2008) - [c181]Bonnie Zhu, Shankar Sastry:
Data Fusion Assurance for the Kalman Filter in Uncertain Networks. IAS 2008: 115-119 - [c180]Roberto Ambrosino, Bruno Sinopoli, Kameshwar Poolla, Shankar Sastry:
Optimal sensor density for remote estimation over Wireless Sensor Networks. Allerton 2008: 599-606 - [c179]Jerry Ding, Jonathan Sprinkle, S. Shankar Sastry, Claire J. Tomlin:
Reachability calculations for automated aerial refueling. CDC 2008: 3706-3712 - [c178]Alessandro Abate, Maria Prandini, John Lygeros, Shankar Sastry:
An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems. CDC 2008: 4018-4023 - [c177]Damiano Varagnolo, Phoebus Chen, Luca Schenato, Shankar S. Sastry:
Performance analysis of different routing protocols in Wireless Sensor Networks for real-time estimation. CDC 2008: 4904-4909 - [c176]Allen Y. Yang, Sameer Iyengar, Shankar Sastry, Ruzena Bajcsy, Philip Kuryloski, Roozbeh Jafari:
Distributed segmentation and classification of human actions using a wearable motion sensor network. CVPR Workshops 2008: 1-8 - [c175]Alessandro Abate, Alessandro D'Innocenzo, Maria Domenica Di Benedetto, Shankar Sastry:
Markov Set-Chains as Abstractions of Stochastic Hybrid Systems. HSCC 2008: 1-15 - [c174]Alessandro Abate, Maria Prandini, John Lygeros, Shankar Sastry:
Approximation of General Stochastic Hybrid Systems by Switching Diffusions with Random Hybrid Jumps. HSCC 2008: 598-601 - [c173]Manish Kushwaha, Isaac Amundson, Péter Völgyesi, Parvez Ahammad, Gyula Simon, Xenofon D. Koutsoukos, Ákos Lédeczi, Shankar Sastry:
Multi-Modal Target Tracking Using Heterogeneous Sensor Networks. ICCCN 2008: 136-143 - [c172]Alvaro A. Cárdenas, Saurabh Amin, Shankar Sastry:
Secure Control: Towards Survivable Cyber-Physical Systems. ICDCS Workshops 2008: 495-500 - [c171]Phoebus Chen, Parvez Ahammad, Colby Boyer, Shih-I Huang, Leon Lin, Edgar J. Lobaton, Marci Meingast, Songhwai Oh, Simon Wang, Posu Yan, Allen Y. Yang, Chuohao Yeo, Lung-Chung Chang, J. Doug Tygar, Shankar Sastry:
CITRIC: A low-bandwidth wireless camera network platform. ICDSC 2008: 1-10 - [c170]Marci Meingast, Manish Kushwaha, Songhwai Oh, Xenofon D. Koutsoukos, Ákos Lédeczi, Shankar Sastry:
Fusion-based localization for a Heterogeneous camera network. ICDSC 2008: 1-8 - [c169]Vincent Duindam, Ron Alterovitz, Shankar Sastry, Kenneth Y. Goldberg:
Screw-based motion planning for bevel-tip flexible needles in 3D environments with obstacles. ICRA 2008: 2483-2488 - [c168]Yongsoon Yoon, Jae Mann Park, H. Jin Kim, Shankar Sastry:
Utilizing parallax information for collisionavoidancein dynamic environments. IROS 2008: 4186 - [c167]Annarita Giani, Tanya G. Roosta, Shankar Sastry:
Integrity checker for wireless sensor networks in health care applications. PervasiveHealth 2008: 135-138 - [c166]Alvaro A. Cárdenas, Saurabh Amin, Shankar Sastry:
Research Challenges for the Security of Control Systems. HotSec 2008 - [c165]Vincent Duindam, Jijie Xu, Ron Alterovitz, Shankar Sastry, Kenneth Y. Goldberg:
3D Motion Planning Algorithms for Steerable Needles Using Inverse Kinematics. WAFR 2008: 535-549 - [c164]Tanya G. Roosta, Wei-Chieh Liao, Wei-Chung Teng, Shankar Sastry:
Testbed Implementation of a Secure Flooding Time Synchronization Protocol. WCNC 2008: 3157-3162 - 2007
- [j56]Janos Sztipanovits, John Bay, Larry Rohrbough, Shankar Sastry, Douglas C. Schmidt, Norm Whitaker, Don Wilson, Don Winter:
Escher: A New Technology Transitioning Model. Computer 40(3): 90-92 (2007) - [j55]Luca Schenato, Bruno Sinopoli, Massimo Franceschetti, Kameshwar Poolla, S. Shankar Sastry:
Foundations of Control and Estimation Over Lossy Networks. Proc. IEEE 95(1): 163-187 (2007) - [j54]Songhwai Oh, Luca Schenato, Phoebus Chen, Shankar Sastry:
Tracking and Coordination of Multiple Agents Using Sensor Networks: System Design, Algorithms and Experiments. Proc. IEEE 95(1): 234-254 (2007) - [c163]Songhwai Oh, Shankar Sastry:
Approximate Estimation of Distributed Networked Control Systems. ACC 2007: 997-1002 - [c162]Bonnie Zhu, Bruno Sinopoli, Kameshwar Poolla, Shankar Sastry:
Estimation over Wireless Sensor Networks. ACC 2007: 2732-2737 - [c161]David Hyunchul Shim, Shankar Sastry:
An Evasive Maneuvering Algorithm for UAVs in See-and-Avoid Situations. ACC 2007: 3886-3891 - [c160]Sameer Pai, Tanya G. Roosta, Stephen B. Wicker, Shankar Sastry:
Using Social Network Theory Towards Development of Wireless Ad Hoc Network Trust. AINA Workshops (1) 2007: 443-450 - [c159]Roozbeh Jafari, Wenchao Li, Ruzena Bajcsy, Steven D. Glaser, Shankar Sastry:
Physical Activity Monitoring for Assisted Living at Home. BSN 2007: 213-219 - [c158]Shankar Sastry:
The Engineering and Societal Impact of Embedded and Autonomous Systems: Beyond Sensor Webs. CASE 2007: 96- - [c157]Saurabh Amin, Alexandre M. Bayen, Laurent El Ghaoui, Shankar Sastry:
Robust feasibility for control of water flow in a reservoir-canal system. CDC 2007: 1571-1577 - [c156]Aaron D. Ames, Alessandro Abate, Shankar Sastry:
Sufficient conditions for the existence of zeno behavior in a class of nonlinear hybrid systems via constant approximations. CDC 2007: 4033-4038 - [c155]Alessandro Abate, Ashish Tiwari, Shankar Sastry:
Box invariance for biologically-inspired dynamical systems. CDC 2007: 5162-5167 - [c154]Tanya G. Roosta, Sameer Pai, Phoebus Chen, Shankar Sastry, Stephen B. Wicker:
Inherent Security of Routing Protocols in Ad-Hoc and Sensor Networks. GLOBECOM 2007: 1273-1278 - [c153]Shankar Sastry:
Networked Embedded Systems: From Sensor Webs to Cyber-Physical Systems. HSCC 2007: 1 - [c152]Alessandro Abate, Saurabh Amin, Maria Prandini, John Lygeros, Shankar Sastry:
Computational Approaches to Reachability Analysis of Stochastic Hybrid Systems. HSCC 2007: 4-17 - [c151]Alessandro Abate, Alessandro D'Innocenzo, Giordano Pola, Maria Domenica Di Benedetto, Shankar Sastry:
The Concept of Deadlock and Livelock in Hybrid Control Systems. HSCC 2007: 628-632 - [c150]Tanya G. Roosta, Martin J. Wainwright, Shankar Sastry:
Convergence Analysis of Reweighted Sum-Product Algorithms. ICASSP (2) 2007: 541-544 - [c149]Marci Meingast, Songhwai Oh, Shankar Sastry:
Automatic Camera Network Localization using Object Image Tracks. ICCV 2007: 1-8 - [c148]Todd Templeton, David Hyunchul Shim, Christopher Geyer, Shankar Sastry:
Autonomous Vision-based Landing and Terrain Mapping Using an MPC-controlled Unmanned Rotorcraft. ICRA 2007: 1349-1356 - [c147]Vincent Duindam, Shankar Sastry:
Geometric motion estimation and control for robotic-assisted beating-heart surgery. IROS 2007: 871-876 - [c146]Jeremy Schiff, Marci Meingast, Deirdre K. Mulligan, Shankar Sastry, Kenneth Y. Goldberg:
Respectful cameras: detecting visual markers in real-time to address privacy concerns. IROS 2007: 971-978 - [c145]Parvez Ahammad, Chuohao Yeo, Kannan Ramchandran, S. Shankar Sastry:
Unsupervised Discovery of Action Hierarchies in Large Collections of Activity Videos. MMSP 2007: 410-413 - [c144]Antti Vehkaoja, Mari Zakrzewski, Jukka Lekkala, Sameer Iyengar, Ruzena Bajcsy, Steven D. Glaser, Shankar Sastry, Roozbeh Jafari:
A resource optimized physical movement monitoring scheme for environmental and on-body sensor networks. HealthNet 2007: 64-66 - [c143]Cyrus L. Harmon, Parvez Ahammad, Ann Hammonds, Richard Weiszmann, Susan E. Celniker, Shankar Sastry, Gerald M. Rubin:
Comparative Analysis of Spatial Patterns of Gene Expression in Drosophila melanogaster Imaginal Discs. RECOMB 2007: 533-547 - [c142]Phoebus Chen, Shankar Sastry:
Latency and connectivity analysis tools for wireless mesh networks. ROBOCOMM 2007: 33 - [p1]Tanya G. Roosta, Michael Manzo, Shankar Sastry:
Time Synchronization Attacks in Sensor Networks. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks 2007: 325-345 - 2006
- [j53]René Vidal, Yi Ma, Stefano Soatto, Shankar Sastry:
Two-View Multibody Structure from Motion. Int. J. Comput. Vis. 68(1): 7-25 (2006) - [j52]David Hyunchul Shim, Hoam Chung, S. Shankar Sastry:
Conflict-free navigation in unknown urban environments. IEEE Robotics Autom. Mag. 13(3): 27-33 (2006) - [j51]Jesse Fern, Julia Kempe, Slobodan N. Simic, Shankar Sastry:
Generalized Performance of Concatenated Quantum Codes - A Dynamical Systems Approach. IEEE Trans. Autom. Control. 51(3): 448-459 (2006) - [j50]Xinyan Deng, Luca Schenato, Wei Chung Wu, S. Shankar Sastry:
Flapping flight for biomimetic robotic insects: part I-system modeling. IEEE Trans. Robotics 22(4): 776-788 (2006) - [j49]Xinyan Deng, Luca Schenato, S. Shankar Sastry:
Flapping flight for biomimetic robotic insects: part II-flight control design. IEEE Trans. Robotics 22(4): 789-803 (2006) - [c141]Christopher Geyer, Todd Templeton, Marci Meingast, S. Shankar Sastry:
The Recursive Multi-Frame Planar Parallax Algorithm. 3DPVT 2006: 17-24 - [c140]Alessandro Abate, Aaron D. Ames, Shankar Sastry:
A priori detection of Zeno behavior in communication networks modeled as hybrid systems. ACC 2006: 1-6 - [c139]Alessandro Abate, Aaron D. Ames, Shankar Sastry:
Error bounds based stochastic approximations and simulations of hybrid dynamical systems. ACC 2006: 1-6 - [c138]Aaron D. Ames, Shankar Sastry:
Hybrid Routhian reduction of Lagrangian hybrid systems. ACC 2006: 1-6 - [c137]Aaron D. Ames, Shankar Sastry:
Hybrid cotangent bundle reduction of simple hybrid mechanical systems with symmetry. ACC 2006: 1-6 - [c136]Aaron D. Ames, Haiyang Zheng, Robert D. Gregg, Shankar Sastry:
Is there life after Zeno? Taking executions past the breaking (Zeno) point. ACC 2006: 1-6 -